Language Computer's CiceroCoref increases the utility of entity extraction from natural language texts by identifying multiple references to the same entity, even when different expressions used to refer to the same entity are used.

For instance, when analyzing a large document, one may wish to extract as much information as possible about a particular individual. With LCC's CiceroCoref, information about the individual can be identified more easily since nominal references (e.g. the individual's partial or full name) and pronominal references (e.g. he or she) can be understood to refer to the same individual, resulting in a more complete information extraction solution.